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Short Trade on PYTH

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Short Trade on PYTH 09 Sep 2025 at 14:29:19

Take profit at 0.1583 (1 %) and Stop Loss at 0.1607 (0.5 %)

Short Trade on PYTH

The 09 Sep 2025 at 14:29:19

With 10146.8887 PYTH at 0.1599$ per unit.

Position size of 1622.4875 $

Take profit at 0.1583 (1 %) and Stop Loss at 0.1607 (0.5 %)

That's a 2 RR Trade

Results

Status:
loss
Trade Type:
sell
ML Trade Score: -100
ML Pullback Score: 0.07
Prediction Score: 0
Prediction 1 Probability
Weak Trade
0.88
Prediction 2 Probability
0 0.85
Prediction 3 Probability
0 0.64
BTC Market Regime Coin Market Regime

ml_regime : neutral

rules_regime : range_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_high

5m_regime : range_low
BTC Correlation Score

5m : 0.634114

15m : -0.059692

1H : -0.071698

 0

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0
  4. atr: 0.0005256126781
Details
  1. score: 1
  2. 1H
  3. ema9 : 0.160218
  4. ema21 : 0.161081
  5. ema50 : 0.161862
  6. ema100 : 0.160378
  7. price_ema9_diff : -0.00199087
  8. ema9_ema21_diff : -0.0053548
  9. ema21_ema50_diff : -0.00482357
  10. price_ema100_diff : -0.00298319
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : True
  13. ema_slope_9 : -0.0172627
  14. ema_slope_21 : -0.0258121
  15. ema_slope_50 : -0.0214826
  16. ema_slope_100 : 0.0131251
  17. rsi : 0.451328
  18. adx : 0.175644
  19. kc_percentage : 0.384168
  20. kc_width_percentage : 0.0607513
  21. volume_ema_diff : -0.324374
  22. volume_ema1 : 701983.20378229
  23. volume_ema2 : 1039012.8009711
  24. regime : bear_high
    25. ¸
  25. 15m
  26. ema9 : 0.158909
  27. ema21 : 0.159458
  28. ema50 : 0.160452
  29. ema100 : 0.161123
  30. price_ema9_diff : 0.00623379
  31. ema9_ema21_diff : -0.00344466
  32. ema21_ema50_diff : -0.00619376
  33. price_ema100_diff : -0.00759112
  34. all_emas_in_trend : True
  35. all_emas_and_price_in_trend : False
  36. ema_slope_9 : -0.0709024
  37. ema_slope_21 : -0.0995431
  38. ema_slope_50 : -0.0643714
  39. ema_slope_100 : -0.0383701
  40. rsi : 0.463596
  41. adx : 0.299297
  42. kc_percentage : 0.611186
  43. kc_width_percentage : 0.027968
  44. volume_ema_diff : -0.162399
  45. volume_ema1 : 171595.19243846
  46. volume_ema2 : 204865.12459913
  47. regime : bear_high
    48. ¸
  48. 5m
  49. ema9 : 0.159289
  50. ema21 : 0.158916
  51. ema50 : 0.159158
  52. ema100 : 0.160169
  53. price_ema9_diff : 0.00383526
  54. ema9_ema21_diff : 0.00234595
  55. ema21_ema50_diff : -0.00152107
  56. price_ema100_diff : -0.00168367
  57. all_emas_in_trend : False
  58. all_emas_and_price_in_trend : False
  59. ema_slope_9 : 0.047886
  60. ema_slope_21 : 0.0320921
  61. ema_slope_50 : -0.0010981
  62. ema_slope_100 : -0.0151309
  63. rsi : 0.624151
  64. adx : 0.183906
  65. kc_percentage : 1.00104
  66. kc_width_percentage : 0.0120748
  67. volume_ema_diff : -0.543878
  68. volume_ema1 : 31788.154138275
  69. volume_ema2 : 69692.261477642
  70. regime : range_low
    71. ¸
  71. btc_indicators
  72. btc_indicators
  73. 5m_ema100: 
    111716
  74. 5m_price_ema100_diff: 
    -0.00473581
  75. 5m_price: 
    111187
  76. 5m_correlation_with_coin: 
    0.634114
  77. btc_indicators
  78. 15m_ema100: 
    112010
  79. 15m_price_ema100_diff: 
    -0.00754887
  80. 15m_price: 
    111164
  81. 15m_correlation_with_coin: 
    -0.059692
  82. btc_indicators
  83. 1H_ema100: 
    111422
  84. 1H_price_ema100_diff: 
    -0.00211057
  85. 1H_price: 
    111187
  86. 1H_correlation_with_coin: 
    -0.071698
    87. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
09 Sep 2025
14:29:19		 09 Sep 2025
14:50:00		 20 minutes

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1599 0.1607 0.1583 2 0.0516
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.1599
  • Stop Loss: 0.1607
  • Take Profit: 0.1583

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1607 - 0.1599 = 0.00080000000000002

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1599 - 0.1583 = 0.0016

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.0016 / 0.00080000000000002 = 2

📌 Position Size

Amount Margin Quantity Leverage
1622.4875 100 10146.8887 16.22
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.00080000000000002

Taille de position = 8 / 0.00080000000000002 = 10000

Taille de position USD = 10000 x 0.1599 = 1599

Donc, tu peux acheter 10000 avec un stoploss a 0.1607

Avec un position size USD de 1599$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 10000 x 0.00080000000000002 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 10000 x 0.0016 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 10000
  • Taille de position USD 1599
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
1 % 16.24 $
SL % Target SL $ Target
0.5 % 8.12 $
PNL PNL %
-8.12 $ -0.50
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
-0.5003 % 100 % 3

📌 ML Extra Data

Extra TP Data

                              Array
(
)
Extra SL data

                              Array
(
    [1.1] => Array
        (
            [take_profit] => 0.1583
            [entry_price] => 0.1599
            [stop_loss] => 0.16078
            [rr_ratio] => 1.82
            [sl_change_percentage] => 1.1
            [closed_at] => 2025-09-09 15:05:00
            [result] => loss
        )

    [1.2] => Array
        (
            [take_profit] => 0.1583
            [entry_price] => 0.1599
            [stop_loss] => 0.16086
            [rr_ratio] => 1.67
            [sl_change_percentage] => 1.2
            [closed_at] => 2025-09-09 15:05:00
            [result] => loss
        )

    [1.3] => Array
        (
            [take_profit] => 0.1583
            [entry_price] => 0.1599
            [stop_loss] => 0.16094
            [rr_ratio] => 1.54
            [sl_change_percentage] => 1.3
            [closed_at] => 2025-09-09 15:10:00
            [result] => loss
        )

    [1.5] => Array
        (
            [take_profit] => 0.1583
            [entry_price] => 0.1599
            [stop_loss] => 0.1611
            [rr_ratio] => 1.33
            [sl_change_percentage] => 1.5
            [closed_at] => 2025-09-09 15:10:00
            [result] => loss
        )

)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.00029999999999999
            [max_drawdown] => 0.0044
            [rr_ratio] => 0.07
            [high] => 0.16430000
            [low] => 0.15960000
            [mfe_pct] => 0.19
            [mae_pct] => 2.75
            [mfe_mae_ratio] => 0.07
            [candles_analyzed] => 24
            [start_at] => 2025-09-09T14:29:19-04:00
            [end_at] => 2025-09-09T16:29:19-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.00029999999999999
            [max_drawdown] => 0.0109
            [rr_ratio] => 0.03
            [high] => 0.17080000
            [low] => 0.15960000
            [mfe_pct] => 0.19
            [mae_pct] => 6.82
            [mfe_mae_ratio] => 0.03
            [candles_analyzed] => 84
            [start_at] => 2025-09-09T14:29:19-04:00
            [end_at] => 2025-09-09T21:29:19-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.16120000
            [high_after] => 0.16640000
            [low_before] => 0.15650000
            [low_after] => 0.15960000
            [is_new_high] => 
            [is_new_low] => 
        )

)